New distributed reinforcement learning system cuts post-training costs by up to 80%, expanding access to advanced AI beyond ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

The concept of edge-first intelligence entails embedding critical data and inference models directly into the application or ...

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...

The specification will support distributed workflows coordinated across various development and execution environments. These workflows may be carried out by physical devices, virtual devices or ...